CVE-2023-29332
Published: 12 September 2023
Summary
CVE-2023-29332 is a high-severity Use of Insufficiently Random Values (CWE-330) vulnerability in Microsoft Azure Kubernetes Service. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 5.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
Microsoft Azure Kubernetes Service contains an elevation of privilege vulnerability tracked as CVE-2023-29332. The flaw stems from use of insufficiently random values combined with improper input validation, allowing an unauthenticated network attacker to obtain sensitive information from the affected Kubernetes control plane or node components. It carries a CVSS 3.1 score of 7.5 reflecting network attack vector, low complexity, and no required privileges or user interaction.
An attacker with network access can exploit the weakness to read confidential data that would otherwise be restricted, achieving partial elevation of privilege within the Azure Kubernetes Service environment. The vulnerability can be reached without authentication, increasing the potential scope of exposure in multi-tenant or publicly reachable clusters.
Microsoft’s Security Response Center advisory at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2023-29332 provides official guidance on patches and configuration changes required to address the issue. The current EPSS score of 0.1522 with a recorded peak of 0.1953 indicates moderate and sustained exploitation interest following disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-32906
Vulnerability details
Microsoft Azure Kubernetes Service Elevation of Privilege Vulnerability
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Key generation under controlled management uses approved random-bit sources rather than insufficiently random values.
Directly implements checks on information inputs to reject invalid data before processing.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.